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frank-method

Plan multi-agent systems using the AGENT Blueprint architecture.

1|Updated Feb 6, 2026
Search Tags:#multi-agent#orchestration#governance#enterprise#ai-agent#agent-design#frank-method
One-click install
npx skills add https://github.com/oci-ai-architects/cline-oci-ai-architect-skills --skill frank-method
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: frank-method
Source: https://github.com/oci-ai-architects/cline-oci-ai-architect-skills/tree/main/skills/frank-method
Command: npx skills add https://github.com/oci-ai-architects/cline-oci-ai-architect-skills --skill frank-method

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enables portable, scalable design of AI agent systems that can be deployed across both enterprise contexts and personal workflows using a structured blueprint.

Core Features & Use Cases

  • AGENT Blueprint architecture: defines Architecture, Governance, Execution, Network, and Transformation to guide multi-agent deployments.
  • Governance and pattern library: provides decision authority and risk considerations for enterprise agents.
  • Enterprise-to-personal translation: maps enterprise agent patterns to everyday productivity helpers.
  • Reusable activation: clear activation guidance for Cline and Cursor environments.

Quick Start

Reference this skill at the start of a Cline session to apply the AGENT Blueprint for architecting multi-agent deployments.

Frequently Asked Questions about frank-method

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the AGENT Blueprint for multi-agent architecture?▼

The AGENT Blueprint is a structured framework for designing scalable multi-agent systems, defining Architecture, Governance, Execution, Network, and Transformation to guide enterprise AI deployments and orchestration.

How do I plan enterprise multi-agent orchestration with governance?▼

You plan enterprise multi-agent orchestration by applying the AGENT Blueprint, which maps decision authority, risk considerations, and measurable KPIs across the deployment lifecycle for governed AI agents.

Does the AGENT Blueprint work for personal productivity AI agents?▼

Yes, the AGENT Blueprint translates enterprise agent patterns to everyday personal productivity contexts, enabling portable and scalable design for individual workflow helpers.

Can I use this multi-agent design method in Cline and Cursor?▼

Yes, you can reference this skill at the start of a Cline session to apply the AGENT Blueprint, and it includes reusable activation guidance specifically for Cline and Cursor environments.

What is the best way to define measurable KPIs for AI agent deployments?▼

The best way to define measurable KPIs for AI agent deployments is using the AGENT Blueprint's Transformation and Governance layers, which require structured inputs and interoperable tools for evaluation.

What limitations exist when designing multi-agent systems with a blueprint?▼

Designing multi-agent systems with this blueprint requires providing structured inputs and ensuring interoperable tools are in place, as the framework mandates measurable KPIs and defined decision authority.

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